Hunsaker Darrell H, Riffenburgh Robert H
Department of Otolaryngology, Naval Medical Center San Diego, San Diego, California 92109, USA.
Otolaryngol Head Neck Surg. 2006 May;134(5):756-60. doi: 10.1016/j.otohns.2006.01.017.
To analyze the impact of snoring, independent of obstructive sleep apnea syndrome on patients referred for home sleep studies and to report a new technology for the reporting of snoring, using sophisticated sound collection and noise-canceling technology.
A retrospective statistical review of consecutive anonymous data compiled from questionnaires and digital data of snoring loudness and duration measured at the upper lip during unattended home sleep studies in 4,860 patients referred for snoring and sleep-disturbed breathing.
A strong relationship exists between a history of snoring and complaints of daytime sleepiness (80%), obesity (73%), and chronic fatigue (78%) (all yield P<0.001). By contrast, only 42% to 48% of patients without these symptoms complain of snoring. In 3 multiple-regression analyses, the percent of time snoring, average loudness, and peak loudness are all significantly predicted by the apnea hypopnea index (all P<0.003), body mass index (all P<0.001), and age (P=0.014). Daytime sleepiness was strongly predicted by percent time snoring (P=0.014), weakly by average loudness (P=0.046), and not at all by peak loudness (P=0.303).
By using a pair of microphones placed at the upper lip, one that samples breath sounds and the other ambient sound and artifact noise, the NovaSOM QSG measures snoring while canceling ambient noise. The clinical impact of snoring on the patient as well as the bed partner, independent of obstructive sleep apnea syndrome, is an unrecognized factor in sleep-disturbed breathing.
Measurable criteria to define snoring are suggested. Snoring loudness is not measured in most laboratory Polysomnograms.
B-3b.
分析打鼾（独立于阻塞性睡眠呼吸暂停综合征）对接受家庭睡眠研究患者的影响，并报告一种利用先进声音采集和噪声消除技术报告打鼾情况的新技术。
对4860例因打鼾和睡眠呼吸紊乱而接受无人值守家庭睡眠研究的患者，从问卷及上唇处测量的打鼾响度和持续时间的数字数据中汇编的连续匿名数据进行回顾性统计分析。
打鼾史与日间嗜睡（80%）、肥胖（73%）和慢性疲劳（78%）之间存在密切关系（所有P<0.001）。相比之下，没有这些症状的患者中只有42%至48%抱怨打鼾。在3项多元回归分析中，打鼾时间百分比、平均响度和峰值响度均由呼吸暂停低通气指数（所有P<0.003）、体重指数（所有P<0.001）和年龄（P=0.014）显著预测。日间嗜睡由打鼾时间百分比强烈预测（P=0.014），由平均响度微弱预测（P=0.046），而峰值响度则完全无预测作用（P=0.303）。
通过在上唇放置一对麦克风，一个采集呼吸声音，另一个采集环境声音和伪像噪声，NovaSOM QSG可在消除环境噪声的同时测量打鼾。打鼾对患者及其同床伴侣的临床影响，独立于阻塞性睡眠呼吸暂停综合征，是睡眠呼吸紊乱中一个未被认识的因素。
提出了定义打鼾的可测量标准。大多数实验室多导睡眠图未测量打鼾响度。
B-3b。
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